钉钉应用开发-Python操作钉钉文档（excel版）

钉钉应用开发-Python操作钉钉文档

一： 服务端SDK下载

服务端SDK下载 - 钉钉开放平台 (dingtalk.com)

pip3 install alibabacloud_dingtalk

二：钉钉开放平台

开发者后台 (dingtalk.com)

基础概念 - 钉钉开放平台 (dingtalk.com)

2.1：创建应用

2.2：获取应用基本信息

2.3：权限申请，获取读写权限

批量申请所需权限

申请查询用户详情权限，否则后面不能根据用户UserID查询用户UnionID的信息。

2.4：创建文档，获取workbookID

在文档的右上角，左键三个点的按钮，在弹出的框中选择文档信息。

获取表格ID

2.5：获取开发者的UserID

进入【钉钉管理后台】成员管理 (dingtalk.com)

在详细信息中，这里的员工UserID就是需要的信息。

2.6：获取AccessToken

获取Acess Token API: API Explorer (dingtalk.com)

根据前面获取到的appKey和appSecret信息，作为API的入参，调用后返回的accessToken就是需要的token。有效期7200秒。

2.7：获取开发者的UnionID

根据UserID,获取开发者的UnionID(OperatorID)。

根据UserID获取UnionID的钉钉API接口： API Explorer (dingtalk.com)

把前面获取到的AccessToken和UserID信息作为入参传入，获取用户UnionID。

2.8：所有基本信息

• AppID
• AgentID
• ClientID（原AppKey和SuiteKey）
• ClientSecret（原AppSecret和SuiteSecret）
• WorkBookID
• UserID
• UnionID(原OperatorID)
• AccessToken

相关API调用页面：

API Explorer (dingtalk.com)

获取Acess Token

API Explorer (dingtalk.com)

获取UserID:

成员管理 (dingtalk.com)

根据UserID查询unionid

API Explorer (dingtalk.com)

三：生成代码demo

3.1：安装python模块

pip install alibabacloud_dingtalk

3.2：开发通用模块代码

根据官方提供的Demo，按照不同功能调整成自己的代码。

代码结构如下：

• conf目录下settings.py是配置文件（配置日志,系统变量等）
• data目录下token.json是缓存token的文件。
• utils目录下是通用工具模块
  • conndb.py是连接数据库的模块。
  • decrypt.py是加密解密模块。
  • pyding_workbook.py是调用钉钉文档API接口,操作钉钉文档的模块。
  • AYOGI目录下，（比如rpt_luckbean_daily.py）是业务相关的代码。

• 代码路径：./utils/pyding_workbook.py

#!/usr/bin/python3
# -*- coding: utf-8 -*-
# @CreateDate   : 2024/6/7 下午10:41
# @Author       : DBArtist
# @Email        : 1572764381@qq.com
# @Project      : my-python-scripts
# @ScriptFile   : pyding_workbook.py
# @Describe     :

# pip install alibabacloud_dingtalk
import os
import sys
import json
from datetime import datetime,timedelta
from typing import List
from alibabacloud_dingtalk.doc_1_0.client import Client as dingtalkdoc_1_0Client
from alibabacloud_dingtalk.doc_1_0 import models as dingtalkdoc__1__0_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_tea_util.client import Client as UtilClient
from alibabacloud_dingtalk.oauth2_1_0.client import Client as dingtalkoauth2_1_0Client
from alibabacloud_dingtalk.oauth2_1_0 import models as dingtalkoauth_2__1__0_models
from conf.settings import *

class MyWorkbook():
    def __init__(self,access_token,workbook_id=WORKBOOK_ID,operator_id=OPERATOR_ID):
        self.access_token = access_token
        self.workbook_id = workbook_id
        self.operator_id = operator_id
        self.client = self.create_client()

    @staticmethod
    def create_client() -> dingtalkdoc_1_0Client:
        """
        使用 Token 初始化账号Client
        @return: Client
        @throws Exception
        """
        config = open_api_models.Config()
        config.protocol = 'https'
        config.region_id = 'central'
        return dingtalkdoc_1_0Client(config)

    def get_all_sheets(self):
        """
        获取所有的sheets
        :return:
        """
        get_all_sheets_headers = dingtalkdoc__1__0_models.GetAllSheetsHeaders()
        get_all_sheets_headers.x_acs_dingtalk_access_token = self.access_token
        get_all_sheets_request = dingtalkdoc__1__0_models.GetAllSheetsRequest(
            operator_id=self.operator_id
        )
        try:
            ret = self.client.get_all_sheets_with_options(self.workbook_id, get_all_sheets_request, get_all_sheets_headers, util_models.RuntimeOptions())
            wb_sheets_list = ret.body.value
            wb_sheets_list_format = []
            for wb_sheet in wb_sheets_list:
                wb_sheets_list_format.append([wb_sheet.id, wb_sheet.name])

            return wb_sheets_list_format
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] get_all_sheets err: {err =}')
                pass

    def check_sheet_exist(self, sheet_name):
        """
        检测某个sheet_name是否存在
        :param sheet_name:
        :return:
        """
        all_sheets_list = self.get_all_sheets()
        for wb_sheet in all_sheets_list:
            if sheet_name in wb_sheet:
                return True
        return False

    def create_sheet(self,sheet_name):
        """
        创建sheet
        :param sheet_name:
        :return:
        """
        if self.check_sheet_exist(sheet_name):
            LOGGER.info(f'[pyding_workbook] create sheet fail, {sheet_name} is already exist.')
            return None

        create_sheet_headers = dingtalkdoc__1__0_models.CreateSheetHeaders()
        create_sheet_headers.x_acs_dingtalk_access_token = self.access_token
        create_sheet_request = dingtalkdoc__1__0_models.CreateSheetRequest(
                operator_id=self.operator_id,
                name=sheet_name
            )
        try:
            sheet_obj = self.client.create_sheet_with_options(self.workbook_id, create_sheet_request, create_sheet_headers, util_models.RuntimeOptions())

            return sheet_obj
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] create_sheet err: {err =}')
                pass

    def get_sheetid_by_name(self,sheet_name):
        """
        根据sheet名称查找对应的sheet_id
        :param sheet_name:
        :return:
        """
        all_sheets = self.get_all_sheets()
        for wb_sheet in all_sheets:
            if sheet_name in wb_sheet[1]:
                return wb_sheet[0]
        return False

    def get_sheet(self,sheet_id=None, sheet_name=None):
        """
        获取sheet
        :return:
        :param self:
        :return:
        """
        if sheet_id is None and sheet_name is None:
            LOGGER.info(f'[pyding_workbook] get sheet fail, sheet_id or sheet_name must atleast be specified.')
            return None
        if sheet_id is None and sheet_name is not None:
            sheet_id = self.get_sheetid_by_name(sheet_name)
            if not sheet_id:
                LOGGER.info(f'[pyding_workbook] get sheet fail, sheet_name:"{sheet_name}" is not exist.')
                return None

        get_sheet_headers = dingtalkdoc__1__0_models.GetSheetHeaders()
        get_sheet_headers.x_acs_dingtalk_access_token = self.access_token
        get_sheet_request = dingtalkdoc__1__0_models.GetSheetRequest(
            operator_id=self.operator_id
        )

        try:
            sheet_obj = self.client.get_sheet_with_options(self.workbook_id, sheet_id,
                        get_sheet_request, get_sheet_headers, util_models.RuntimeOptions())

            return sheet_obj
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] get_sheet err: {err =}')
                pass

    def delete_sheet(self,sheet_id=None,sheet_name=None):
        """
        删除sheet
        :return:
        :param self:
        :return:
        """
        if sheet_id is None and sheet_name is None:
            LOGGER.info(f'[pyding_workbook] delete sheet fail, sheet_id or sheet_name must atleast be specified.')
            return None
        if sheet_id is None and sheet_name is not None:
            sheet_id = self.get_sheetid_by_name(sheet_name)
            if not sheet_id:
                LOGGER.info(f'[pyding_workbook] delete sheet fail, sheet_name:"{sheet_name}" is not exist.')
                return None

        delete_sheet_headers = dingtalkdoc__1__0_models.DeleteSheetHeaders()
        delete_sheet_headers.x_acs_dingtalk_access_token = self.access_token
        delete_sheet_request = dingtalkdoc__1__0_models.DeleteSheetRequest(
            operator_id=self.operator_id,
        )
        try:
            ret = self.client.delete_sheet_with_options(self.workbook_id, sheet_id, delete_sheet_request, delete_sheet_headers,
                                               util_models.RuntimeOptions())
            return ret
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] delete_sheet err: {err =}')
                pass

    def get_range(self,range_address,sheet_id=None,sheet_name=None):
        """
        获取单元格信息
        :param range_address:
        :param sheet_id:
        :param sheet_name:
        :return:
        """
        if sheet_id is None and sheet_name is None:
            LOGGER.info(f'[pyding_workbook] get range fail, sheet_id or sheet_name must atleast be specified.')
            return None
        if sheet_id is None and sheet_name is not None:
            sheet_id = self.get_sheetid_by_name(sheet_name)
            if not sheet_id:
                LOGGER.info(f'[pyding_workbook] get range fail, sheet_name:"{sheet_name}" is not exist.')
                return None

        get_range_headers = dingtalkdoc__1__0_models.GetRangeHeaders()
        get_range_headers.x_acs_dingtalk_access_token = self.access_token
        get_range_request = dingtalkdoc__1__0_models.GetRangeRequest(
            operator_id=self.operator_id
        )
        try:
            ret = self.client.get_range_with_options(self.workbook_id, sheet_id, range_address,
                            get_range_request, get_range_headers,util_models.RuntimeOptions())
            return ret
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] get_range err: {err =}')
                pass

    def clear_range_all(self,range_address,sheet_id=None,sheet_name=None):
        """
        清除区域内所有内容（包括数据，格式等。。。）
        :return:
        """
        if sheet_id is None and sheet_name is None:
            LOGGER.info(f'[pyding_workbook] clear range all fail, sheet_id or sheet_name must atleast be specified.')
            return None
        if sheet_id is None and sheet_name is not None:
            sheet_id = self.get_sheetid_by_name(sheet_name)
            if not sheet_id:
                LOGGER.info(f'[pyding_workbook] clear range all fail, sheet_name:"{sheet_name}" is not exist.')
                return None

        clear_headers = dingtalkdoc__1__0_models.ClearHeaders()
        clear_headers.x_acs_dingtalk_access_token = self.access_token
        clear_request = dingtalkdoc__1__0_models.ClearRequest(
            operator_id=self.operator_id
        )
        try:
            cra_obj = self.client.clear_with_options(self.workbook_id, sheet_id, range_address,
                      clear_request, clear_headers, util_models.RuntimeOptions())
            return cra_obj
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] clear_range_all err: {err =}')
                pass

    def clear_range_data(self,range_address,sheet_id=None,sheet_name=None):
        """
        清除单元格所有数据（格式等其他保留）
        :param range_address:
        :param sheet_id:
        :param sheet_name:
        :return:
        """
        if sheet_id is None and sheet_name is None:
            LOGGER.info(f'[pyding_workbook] clear range data fail, sheet_id or sheet_name must atleast be specified.')
            return None
        if sheet_id is None and sheet_name is not None:
            sheet_id = self.get_sheetid_by_name(sheet_name)
            if not sheet_id:
                LOGGER.info(f'[pyding_workbook] clear range data faile, sheet_name:"{sheet_name}" is not exist.')
                return None

        clear_data_headers = dingtalkdoc__1__0_models.ClearDataHeaders()
        clear_data_headers.x_acs_dingtalk_access_token = self.access_token
        clear_data_request = dingtalkdoc__1__0_models.ClearDataRequest(
            operator_id=self.operator_id
        )
        try:
            crd_obj = self.client.clear_data_with_options(self.workbook_id, sheet_id, range_address,
                       clear_data_request, clear_data_headers,util_models.RuntimeOptions())
            return crd_obj
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] clear_range_data err: {err =}')
                pass

    def update_range(self,range_address,range_values,sheet_id=None,sheet_name=None,**kwargs):
        """
        更新单元格信息，包括单元格中的值、背景色、超链接等。
        :param range_address:
        :param sheet_id:
        :param sheet_name:
        :return:
        """
        if sheet_id is None and sheet_name is None:
            LOGGER.info(f'[pyding_workbook] update range fail, sheet_id or sheet_name must atleast be specified.')
            return None
        if sheet_id is None and sheet_name is not None:
            sheet_id = self.get_sheetid_by_name(sheet_name)
            if not sheet_id:
                LOGGER.info(f'[pyding_workbook] update range fail, sheet_name:"{sheet_name}" is not exist.')
                return None

        update_range_headers = dingtalkdoc__1__0_models.UpdateRangeHeaders()
        update_range_headers.x_acs_dingtalk_access_token = self.access_token
        update_range_request = dingtalkdoc__1__0_models.UpdateRangeRequest(
            operator_id=self.operator_id,
            values=range_values,
            **kwargs
        )
        try:
            # print(self.workbook_id, sheet_id, range_address,update_range_request, update_range_headers)
            upt_ret = self.client.update_range_with_options(self.workbook_id, sheet_id, range_address,
                        update_range_request, update_range_headers, util_models.RuntimeOptions())

            return upt_ret
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] update_range err: {err =}')
                pass


class MyToken:
    def __init__(self):
        pass

    @staticmethod
    def create_client() -> dingtalkoauth2_1_0Client:
        """
        使用 Token 初始化账号Client
        @return: Client
        @throws Exception
        """
        config = open_api_models.Config()
        config.protocol = 'https'
        config.region_id = 'central'
        return dingtalkoauth2_1_0Client(config)

    @staticmethod
    def create_token(app_key=APP_KEY,app_secret=APP_SECRET) -> None:
        """
        创建token
        :param app_key:
        :param app_secret:
        :return:
        """
        client = MyToken.create_client()
        get_access_token_request = dingtalkoauth_2__1__0_models.GetAccessTokenRequest(
            app_key=app_key,
            app_secret=app_secret
        )
        try:
            ret_token_obj = client.get_access_token(get_access_token_request)
            return ret_token_obj
        except Exception as err:
            if not UtilClient.empty(err.code) and not UtilClient.empty(err.message):
                # err 中含有 code 和 message 属性，可帮助开发定位问题
                ERROR_LOGGER.error(f'[pyding_workbook] create_token err: {__qualname__} {err=}')
                pass

    @staticmethod
    def get_token(file_path,flush=False):
        """
        获取token
        1：先从本地文件读取，如果没有本地文件，则执行创建token，获取并存储在本地。
        2：如果本地文件读取到数据，再判断是否过期，如果过期，则执行创建token,获取并存储在本地。
        3：如果本地文件读取到数据，没有过期，则直接返回本地文件中存储的token信息
        :param save_path:
        :return:
        """

        ## 本地文件不存在或者需要强制刷新，则获取再存储到本地
        if not os.path.isfile(file_path) or flush:
            LOGGER.info(f"[pyding_workbook] {file_path} is not exists, begin to create new token file.")
            # 创建获取token : 76eb8496841b3155850e126ad13a8a46
            token_obj = MyToken.create_token(app_key=APP_KEY,app_secret=APP_SECRET)
            access_token = token_obj.body.access_token
            expire_in = token_obj.body.expire_in
            expire_at = datetime.now() + timedelta(seconds=expire_in)
            expire_at_str = expire_at.isoformat()

            tokenData = {
                'access_token': access_token,
                'expire_in': expire_in,
                'expire_at': expire_at_str
            }

            MyToken.save_token(file_path,tokenData)
            return access_token

        # 本地文件存在，则读取本地json文件
        data = MyToken.read_token(file_path)
        access_token_local=data['access_token']
        expire_at_str_local=data['expire_at']
        expire_at_local = datetime.fromisoformat(expire_at_str_local)

        if expire_at_local < datetime.now():
            # 创建获取token : 76eb8496841b3155850e126ad13a8a46
            token_obj = MyToken.create_token(app_key=APP_KEY,app_secret=APP_SECRET)
            access_token_new = token_obj.body.access_token
            expire_in_new = token_obj.body.expire_in
            expire_at_new = datetime.now() + timedelta(seconds=expire_in_new)
            expire_at_new_str = expire_at_new.isoformat()

            tokenData = {
                'access_token': access_token_new,
                'expire_in': expire_in_new,
                'expire_at': expire_at_new_str
            }

            MyToken.save_token(file_path,tokenData)
            LOGGER.info(f"[pyding_workbook] Token expired, regenerate.")
            return access_token_new
        else:
            return access_token_local

    @staticmethod
    def save_token(file_path,token_data):
        # 将字典数据写入到JSON文件中
        with open(file_path, 'w', encoding='utf-8') as file:
            # 使用json.dump()写入数据，indent参数用于美化输出，表示缩进的空格数
            json.dump(token_data, file, indent=4, ensure_ascii=False)
        LOGGER.info(f"[pyding_workbook] Token data save to {file_path}")
        return token_data['access_token']

    @staticmethod
    def read_token(file_path):
        with open(file_path, 'r', encoding='utf-8') as file:
            data = json.load(file)
        LOGGER.info(f"[pyding_workbook] Token data read from {file_path}")
        return data

def create_range_address(row_len, col_len, start_row=2,start_col="A"):
    """
    根据根据传入的起始值，及数据行，列数。获取单元格区间
    比如: 从A2开始，3行4列的数据，单元格区间是A2:D4
    :param row_len:
    :param col_len:
    :param start_row:
    :param start_col:
    :return:
    """
    if row_len <= 0 or col_len <= 0:
        return None

    if not isinstance(start_col, str) or not (1 <= len(start_col) <= 2) or not start_col.isalpha() or not start_col.isupper():
        raise ValueError("起始列名必须是1或2位大写字母。")

    if start_row < 2:
        raise ValueError("起始行数必须是大约等于2。")

    end_col = get_end_column_name(start_col,col_len - 1)
    end_row = start_row + row_len - 1

    range_address = f"{start_col}{start_row}:{end_col}{end_row}"
    return range_address

def get_end_column_name(start_col, num_cols):
    """
    # 将列名转换为数字，每个字母对应26的幂次。
    # 举例传入（A，3），表示从A列开始往后3列，结束列就是C。
    :param start_col:
    :param num_cols:
    :return:
    """
    def col_to_num(col):
        return sum((26 ** i) * (ord(char) - ord('A') + 1) for i, char in enumerate(reversed(col)))

    # 将数字转换回列名
    def num_to_col(num):
        col_name = ''
        while num > 0:
            num, rem = divmod(num - 1, 26)
            col_name = chr(rem + ord('A')) + col_name
        return col_name

    # 计算起始列的数字表示
    start_num = col_to_num(start_col)

    # 计算结束列的数字表示
    end_num = start_num + num_cols

    # 将结束列的数字表示转换回列名
    return num_to_col(end_num)


def get_last_column_name(total_columns, start_column='A'):
    """
    根据传入的列数量，起始列名，获取最后一列的列名。
    比如：传入2，最后一列列名是B;
         传入12，最后一列列名是L;
    默认都是从A列开始计算。
    :param total_columns:  总列数
    :param start_column:  开始列名或列序号
    :return:
    """
    if total_columns < 1:
        raise ValueError("Invalid column number")

    def column_index(column_name):
        """Convert a column name to a 1-based index."""
        if isinstance(column_name, str):
            result = 0
            for i, char in enumerate(reversed(column_name.upper())):
                result += (ord(char) - 64) * (26 ** i)
            return result
        elif isinstance(column_name, int) and 1 <= column_name <= 702:
            # Excel columns can go up to 'XFD'
            # Excel 2007 及以后版本支持的最大列数（16,384 列）
            return column_name
        else:
            raise ValueError("start_column must be a column letter (A-XFD) or a positive integer between 1 and 702")

    start_index = column_index(start_column)
    adjusted_columns = total_columns + start_index - 1  # 计算基于起始列的总列索引

    column_name = ""
    while adjusted_columns > 0:
        adjusted_columns -= 1  # 转换为从0开始的索引
        remainder = adjusted_columns % 26
        column_name = chr(65 + remainder) + column_name
        adjusted_columns //= 26

    return column_name


if __name__ == '__main__':
    pass
    # ## 1: 获取access_token
    # access_token = MyToken.get_token('./data/token.json')
    # # print(f'{access_token =}')
    #
    # ## 生成实例对象
    # mysample = MyWorkbook(access_token,WORKBOOK_ID,OPERATOR_ID)
    #
    # ## 2: 获取所有sheets列表
    # all_sheets = mysample.get_all_sheets()
    # print(f'{all_sheets = }')
    #
    # # for wb_sheet in all_sheets:
    # #     wb_sheet_id = wb_sheet[0]
    # #     wb_sheet_name = wb_sheet[1]
    # #     print(f'[{wb_sheet_id =} ,{wb_sheet_name=}]')
    # #
    # #     ## 3: 删除每个sheets(必须保留最少一个sheet，不能全部都删除完)
    # #     mysample.delete_sheet(wb_sheet_id)
    #
    # # 3: 新创建sheet
    # sheet_name = 'new_sheet2'
    # cs_obj = mysample.create_sheet(sheet_name)
    # if not cs_obj:
    #     print('create sheet fail.')
    # else:
    #     print(f'{cs_obj.body.id =},{cs_obj.body.name =},{cs_obj.body.visibility =}')
    #
    # # 4: 删除指定sheet
    # ds_obj = mysample.delete_sheet(None, 'new_sheet2')
    # if not ds_obj:
    #     print('delete sheet fail.')
    # else:
    #     print(f'delete sheet status: {ds_obj.body}')
    #
    # # 5: 查询指定sheet
    # gs_obj = mysample.get_sheet(None,'new_sheet1')
    # if not gs_obj:
    #     print('get sheet fail.')
    # else:
    #     print(f'get sheet msg: {gs_obj.body}')
    #
    #
    # # 6: 查询区域内容
    # ret = mysample.get_range("A1:B3", None,'new_sheet1')
    # if not ret:
    #     print('get range fail.')
    # else:
    #     # print(f'{ret.body}')
    #     print(f'{ret.body.values}')
    #     # print(f'{ret.body.background_colors}')
    #     # print(f'{ret.body.display_values}')
    #     # print(f'{ret.body.font_sizes}')
    #     # print(f'{ret.body.font_weights}')
    #     # print(f'{ret.body.formulas}')
    #     # print(f'{ret.body.horizontal_alignments}')
    #     # print(f'{ret.body.vertical_alignments}')
    #
    # # 7: 清除区域内所有数据
    # range_address = "A2:B3"
    # sheet_id = None
    # sheet_name = 'new_sheet1'
    # ret = mysample.clear_range_data(range_address,sheet_id,sheet_name)
    # if not ret:
    #     print(f'clear range data fail.')
    # else:
    #     print(f'clear range data success: {ret}')
    #
    # # 8: 清除区域内所有数据+格式
    # range_address = "A2:B3"
    # sheet_id = None
    # sheet_name = 'new_sheet1'
    # ret = mysample.clear_range_all(range_address,sheet_id,sheet_name)
    # if not ret:
    #     print(f'clear range all fail.')
    # else:
    #     print(f'clear range all success: {ret}')
    #
    #
    # # 9: 更新单元格内容
    # range_address = "A1:B3"
    # range_values = [["1.21", "3.31"], ["3.43", "4.54"], ["5.65", "6.02"]]
    # sheet_id = None
    # sheet_name = 'new_sheet1'
    # ret = mysample.update_range(range_address, range_values, sheet_id, sheet_name,number_format="#,##0.00")
    # if not ret:
    #     print(f'update range fail.')
    # else:
    #     print(f'update range success: {ret.body.a_1notation}')
    #
    # # 10: 再次查询区域内容
    # ret = mysample.get_range(range_address,sheet_id, sheet_name)
    # if not ret:
    #     print('get range fail.')
    # else:
    #     # print(f'{ret.body}')
    #     print(f'get range success: {ret.body.values}')

说明：pyding_workbook.py就是调用钉钉API的接口核心代码。
其它代码就根据业务调用相关API接口即可。

settings.py文件主要配置变量：

APP_KEY = "xxx"
APP_SECRET = "xxx"
WORKBOOK_ID = "xxx"
OPERATOR_ID = "xxx"  ## unionid

token.json格式如下

{
    "access_token": "xxx",
    "expire_in": 7200,
    "expire_at": "2024-07-04T16:40:25.944534"
}

数字格式：

名称	数字格式	示例
常规	"General"
文本	"@"
数字	"#,##0"	1,234
数字（小数点）	"#,##0.00"	1,234.56
百分数	"0%"	12%
百分数（小数点）	"0.00%"	12.34%
科学计数	"0.00E+00"	1.01E+03
人民币	"¥#,##0"	¥1,234
人民币（小数点）	¥#,##0.00"	¥1,234.56
美元	"$#,##0"	$1,234
美元（小数点）	"$#,##0.00"	$1,234.56
日期	"yyyy/m/d"	2022/1/1
日期（中文）	"yyyy年m月d日"	2022年1月1日
日期（中文年月）	"yyyy年m月"	2022年1月
时间	"hh:mm:ss"	00:00:00
日期时间	"yyyy/m/d hh:mm:ss"	2022/1/1 00:00:00

单元格的值，根据Range地址范围传参，格式为二维数组。

详情请参考如下示例：

Range地址范围有几行，该参数二维数组内就有几个元素；Range地址范围内有几列，该参数二维数组每个元素内就有几个值。

示例1：Range地址为A1:B3，范围内是一个三行两列的表格，该参数值格式如下： { "values": [ ["1", "2"], ["3", "4"], ["5", "6"] ] } 示例2：Range地址为A1:C3，范围内是一个三行三列的表格，该参数值格式如下： { "values": [ ["1","2","3"], ["4","5","6"], ["7","8","9"] ] }

背景色，颜色的16进制值，根据Range地址范围传参，格式为二维数组。详情请参考如下示例：

Range地址范围有几行，该参数二维数组内就有几个元素；Range地址范围内有几列，该参数二维数组每个元素内就有几个值。

示例1：Range地址为A1:B3，范围内是一个三行两列的表格，该参数值格式如下： { "backgroundColors": [ ["#ff0000", "#00ff00"], ["#f0f0f0", "#0000ff"], ["#f0f0f0", "#0000ff"] ] }

示例2：Range地址为A1:C3，范围内是一个三行三列的表格，该参数值格式如下： { "backgroundColors": [ ["#ff0000","#ff0000","#ff0000"], ["#ff0000","#ff0000","#ff0000"], ["#ff0000","#ff0000","#ff0000"] ] }

超链接，根据Range地址范围传参，格式为二维数组。详情请参考如下示例：

Range地址范围有几行，该参数二维数组内就有几个元素；

Range地址范围内有几列，该参数二维数组每个元素内就有几个值。

示例1：Range地址为A1:B3，范围内是一个三行两列的表格，该参数值格式如下：

{ "hyperlinks": [ [ { "type": "path", "link": "https://www.dingtalk.com", "text": "test" }, { "type": "sheet", "link": "Sheet2", "text": "测试" } ], [ { "type": "range", "link": "Sheet2!A4", "text": "test" }, { "type": "path", "link": "https://www.dingtalk.com", "text": "测试" } ], [ { "type": "range", "link": "Sheet2!A4", "text": "2" }, { "type": "sheet", "link": "Sheet2", "text": "测试" } ] ] }

示例2：Range地址为A1:C3，范围内是一个三行三列的表格，该参数值格式如下：

{ "hyperlinks": [ [ { "type": "path", "link": "https://www.dingtalk.com", "text": "test" }, { "type": "sheet", "link": "Sheet2", "text": "测试" },{ "type": "path", "link": "https://www.dingtalk.com", "text": "test" } ], [ { "type": "range", "link": "Sheet2!A4", "text": "test" }, { "type": "path", "link": "https://www.dingtalk.com", "text": "测试" },{ "type": "path", "link": "https://www.dingtalk.com", "text": "test" } ], [ { "type": "range", "link": "Sheet2!A4", "text": "2" }, { "type": "sheet", "link": "Sheet2", "text": "测试" },{ "type": "path", "link": "https://www.dingtalk.com", "text": "test" } ] ] }

更新清除区域格式

更新单元格区域 - 钉钉开放平台 (dingtalk.com)
清除单元格区域内所有内容 - 钉钉开放平台 (dingtalk.com)